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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenxu Zhang Xiaolong Chen Lei Ma Duo Zhao |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China (Wenxu Zhang; Xiaolong Chen; Lei Ma; Duo Zhao) |
| Abstract | This article is concerned with pursuit of multiple evaders with a group of mobile robots. We address this problem from a novel stochastic point of view. Objective of the pursuit is to track and eventually capture the evaders. The evaders possess certain level of intelligence in the way of changing their motion pattern. This necessitates group decision making and coordination of the pursuers. A decision-making scheme of formation changing for the pursuers is proposed in this paper. The pursuers track the targets using a leader-following strategy with the state of the evaders being estimated with distributed Kalman filtering. When the motion pattern of the evaders varies, the pursuers change their formation accordingly based on the Decentralized Partially Observable Markov Decision Processes (DEC-POMDP). Decisions are made according to the pursuers' confidence of their estimation on the evaders and seek to approach maximal reward. Simulation results show the feasibility and validity of the proposed scheme. |
| Starting Page | 7016 |
| Ending Page | 7022 |
| File Size | 198548 |
| Page Count | 7 |
| File Format | |
| ISBN | 9789881563835 |
| ISSN | 19341768 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | TCCT, CAA |
| Subject Keyword | Target tracking Decision making DEC-POMDP Kalman filters Mathematical model Joints State estimation Multi-agent pursuit Distributed Kalman filtering formation control |
| Content Type | Text |
| Resource Type | Article |
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